Advances in Probabilistic Reasoning

Dan Geiger; David Heckerman

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arXiv · 1303.5718

Advances in Probabilistic Reasoning

Dan Geiger·David Heckerman

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Abstract

This paper discuses multiple Bayesian networks representation paradigms for encoding asymmetric independence assertions. We offer three contributions: (1) an inference mechanism that makes explicit use of asymmetric independence to speed up computations, (2) a simplified definition of similarity networks and extensions of their theory, and (3) a generalized representation scheme that encodes more types of asymmetric independence assertions than do similarity networks.

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Dan Geiger, David Heckerman. 2013-03-20. Advances in Probabilistic Reasoning. https://arxiv.org/abs/1303.5718

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